Kassandra Giulia Cristina Raptis

University of Ferrara

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Co-Authors

Virginia Strati

University of Ferrara

Matteo Albéri

University of Ferrara

Fabio Mantovani

University of Ferrara

Enrico Chiarelli

University of Ferrara

M. Montuschi

University of Ferrara

Andrea Maino

University of Ferrara

Carlo Bottardi

University of Ferrara

Marica Baldoncini

Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro

Filippo Semenza

Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara

Andrea Serafini

University of Padua

Cooperative Institutions

University of Ferrara

Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara

National Research Council

University of Bologna

Istituto Nazionale di Fisica Nucleare

Regione Umbria

Regione Puglia

Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro

University of Padua

Istituto Nazionale di Fisica Nucleare, Sezione di Milano

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Exploring atmospheric radon with airborne gamma-ray spectroscopy

Atmospheric Environment (2017)

Marica Baldoncini Matteo Albéri Carlo Bottardi Brian Minty Kassandra Giulia Cristina Raptis

Background radiation

10.1016/j.atmosenv.2017.09.048

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Citations (22)

Airborne Gamma-Ray Spectroscopy for Modeling Cosmic Radiation and Effective Dose in the Lower Atmosphere

IEEE Transactions on Geoscience and Remote Sensing (2017)

Marica Baldoncini Matteo Albéri Carlo Bottardi Brian Minty Kassandra Giulia Cristina Raptis

In this paper we present the results of a $\sim$5 hour airborne gamma-ray survey carried out over the Tyrrhenian sea in which the height range (77-3066) m has been investigated. Gamma-ray spectroscopy measurements have been performed by using the AGRS_16L detector, a module of four 4L NaI(Tl) crystals. The experimental setup was mounted on the Radgyro, a prototype aircraft designed for multisensorial acquisitions in the field of proximal remote sensing. By acquiring high-statistics spectra over the sea (i.e. in the absence of signals having geological origin) and by spanning a wide spectrum of altitudes it has been possible to split the measured count rate into a constant aircraft component and a cosmic component exponentially increasing with increasing height. The monitoring of the count rate having pure cosmic origin in the >3 MeV energy region allowed to infer the background count rates in the $^{40}$K, $^{214}$Bi and $^{208}$Tl photopeaks, which need to be subtracted in processing airborne gamma-ray data in order to estimate the potassium, uranium and thorium abundances in the ground. Moreover, a calibration procedure has been carried out by implementing the CARI-6P and EXPACS dosimetry tools, according to which the annual cosmic effective dose to human population has been linearly related to the measured cosmic count rates.

Background radiation

Dose rate

Gamma Spectroscopy

10.1109/tgrs.2017.2755466

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Citations (12)

External effective dose from natural radiation for the Umbria region (Italy)

Journal of Maps (2022)

Kassandra Giulia Cristina Raptis Matteo Albéri Stefano Bisogno Ivan Callegari Enrico Chiarelli

This study presents the map of the external effective annual dose rate (1:200,000 scale) due to terrestrial and cosmic radiation. The terrestrial dose is assessed via gamma ray spectroscopy combining radiometric data from airborne surveys and laboratory measurements. The geostatistical method Collocated CoKriging is used for the spatial interpolation of the sparse gamma ray data, adopting a high-resolution geological map as ancillary information. The obtained numerical map is integrated with the cosmic radiation effective dose rate calculated using the CARI-7 software tool that considers the effects of altitude, latitude, and the solar magnetic activity cycle. The absorbed dose rate due to radioactivity of the main lithological groups is studied and, for the most populated municipalities, the population-weighted average effective dose is also calculated. For future generations, this map will be a reference tool for evaluating radiological effects in case of accidental events like radioactive fallout or environmental contaminations.

Dose rate

10.1080/17445647.2022.2093659

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Citations (3)

Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture

Remote Sensing (2022)

Andrea Maino Matteo Albéri Emiliano Anceschi Enrico Chiarelli Luca Cicala

Soil texture is key information in agriculture for improving soil knowledge and crop performance, so the accurate mapping of this crucial feature is imperative for rationally planning cultivations and for targeting interventions. We studied the relationship between radioelements and soil texture in the Mezzano Lowland (Italy), a 189 km2 agricultural plain investigated through a dedicated airborne gamma-ray spectroscopy survey. The K and Th abundances were used to retrieve the clay and sand content by means of a multi-approach method. Linear (simple and multiple) and non-linear (machine learning algorithms with deep neural networks) predictive models were trained and tested adopting a 1:50,000 scale soil texture map. The comparison of these approaches highlighted that the non-linear model introduces significant improvements in the prediction of soil texture fractions. The predicted maps of the clay and of the sand content were compared with the regional soil maps. Although the macro-structures were equally present, the airborne gamma-ray data permits us shedding light on finer features. Map areas with higher clay content were coincident with paleo-channels crossing the Mezzano Lowland in Etruscan and Roman periods, confirmed by the hydrographic setting of historical maps and by the geo-morphological features of the study area.

Radiometric dating

Texture (cosmology)

10.3390/rs14153814

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Citations (6)

Combining Precision Viticulture Technologies and Economic Indices to Sustainable Water Use Management

Water (2022)

Adele Finco Deborah Bentivoglio Giulia Chiaraluce Matteo Albéri Enrico Chiarelli

The scarcity of water due to climate change is endangering worldwide the production, quality, and economic viability of growing wine grapes. One of the main mitigation measures to be adopted in the viticulture sector will be an adequate irrigation strategy. Irrigation involves an increasing demand for water, a natural limited resource with increasing availability problems for the foreseeable future. Therefore, the development of a precision irrigation system, which is able to manage the efficient use of water and to monitor the crop water stress, is an important research topic for viticulture. This paper, through the analysis of a case study, aims to describe the prototype of a software platform that integrates data coming from different innovative remote and proximal sensors to monitor the hydric stress status of the vineyard. In addition, by using a cost analysis of grape cultivation and implementing economic indices, this study examines the conditions by which irrigation strategies may be economically justified, helping the decision-making process. By combining different sensors, the platform makes it possible to assess the spatial and temporal variability of water in vineyards. In addition, the output data of the platforming, matched with the economic indices, support the decision-making process for winemakers to optimize and schedule water use under water-scarce conditions.

Vineyard

10.3390/w14091493

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Citations (17)

Effects of Restoration Through Nature-Based Solution on Benthic Biodiversity: A Case Study in a Northern Adriatic Lagoon

Water (2025)

Michele Mistri Matteo Albéri Enrico Chiarelli Cinzia Cozzula Federico Cunsolo

In the Caleri lagoon, a coastal lagoon in the Po River Delta, Northern Adriatic, the transplant of the dwarf eelgrass Zostera noltei was used as a nature-based solution to attempt the ecological restoration of a previously depleted lagoon area. A total of 135 15-cm-diameter sods were transplanted, with the donor site at the Venice lagoon. Using unmanned aerial vehicles (UAVs), eelgrass transplants were mapped and monitored with great precision. After two years, the area covered by eelgrass increased from the initial 2.5 m2 to 60 m2. Changes in the community structure and on the frequency of biological traits of macrobenthos occurred at the transplant site, with a higher frequency of epifaunal predators and herbivores, and of organisms with longer life spans and larger body sizes. Sensitive and indifferent taxa were always higher in the transplant site than in the bare bottom control site, where opportunistic taxa continued to dominate. Ecological quality status measured through M-AMBI and HBFI indices showed a clear improvement in the transplant site. The rapid changes in benthos demonstrate that even relatively small-scale transplantation of dwarf eelgrass can restore faunal communities very rapidly.

10.3390/w17030366

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Citations (0)

Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data

Advances in Water Resources (2019)

Paolo Filippucci Angelica Tarpanelli Christian Massari Andrea Serafini Virginia Strati

10.1016/j.advwatres.2019.103502

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Citations (64)

Rain rate and radon daughters’ activity

Atmospheric Environment (2020)

Carlo Bottardi Matteo Albéri Marica Baldoncini Enrico Chiarelli M. Montuschi

Rain rate

10.1016/j.atmosenv.2020.117728

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Citations (20)

Biomass water content effect on soil moisture assessment via proximal gamma-ray spectroscopy

Geoderma (2018)

Marica Baldoncini Matteo Albéri Carlo Bottardi Enrico Chiarelli Kassandra Giulia Cristina Raptis

Gamma Spectroscopy

10.1016/j.geoderma.2018.08.012

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Citations (37)

Proximal Gamma-Ray Spectroscopy: An Effective Tool to Discern Rain from Irrigation

Remote Sensing (2021)

Andrea Serafini Matteo Albéri Michele Amoretti Stefano Anconelli Enrico Bucchi

Proximal gamma-ray spectroscopy is a consolidated technology for a continuous and real-time tracing of soil water content at field scale. New developments have shown that this method can also act as an unbiased tool for remotely distinguishing rainwater from irrigation without any meteorological support information. Given a single detector, the simultaneous observation in a gamma spectrum of a transient increase in the 214Pb signal, coupled with a decrease in the 40K signal, acts as an effective proxy for rainfall. A decrease in both 214Pb and 40K signals is, instead, a reliable fingerprint for irrigation. We successfully proved this rationale in two data-taking campaigns performed on an agricultural test field with different crop types (tomato and maize). The soil moisture levels were assessed via the 40K gamma signal on the basis of a one-time setup calibration. The validation against a set of gravimetric measurements showed excellent results on both bare and vegetated soil conditions. Simultaneously, the observed rain-induced increase in the 214Pb signal permitted to identify accurately the rain and irrigation events occurred in the 8852 h of data taking.

Gravimetric analysis

10.3390/rs13204103

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Citations (4)